Exploration of transfer learning techniques for the prediction of PM 10
Exploration of transfer learning techniques for the prediction of PM 10
About this item
Full title
Exploration of transfer learning techniques for the prediction of PM 10
Author / Creator
Publisher
England
Journal title
Scientific reports, 2025-01, Vol.15 (1), p.2919
Language
English
Formats
Publication information
Publisher
England
More information
Scope and Contents
Contents
Modelling of pollutants provides valuable insights into air quality dynamics, aiding exposure assessment where direct measurements are not viable. Machine learning (ML) models can be employed to explore such dynamics, including the prediction of air pollution concentrations, yet demanding extensive training data. To address this, techniques like tr...
Alternative Titles
Full title
Exploration of transfer learning techniques for the prediction of PM 10
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmed_primary_39849002
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmed_primary_39849002
Other Identifiers
E-ISSN
2045-2322
DOI
10.1038/s41598-025-86550-6
